By Peter Clarke, EETimes Europe
March 01, 2017
ARM is introducing a free library of popular machine learning and computer vision routines that has been optimized to run on ARM CPUs and GPUs.
The library, a collection of low level building blocks for imaging, vision and machine learning that will become available at the end of March as open source software, was being demonstrated on ARM's booth at the Mobile World Congress in Barcelona.
The library includes common functions for machine learning frameworks and includes neural networks, colour manipulation, feature detection image reshaping and General Matrix-to-Matrix Multiplication (GEMM), which can be at the heart of implementing convolutional neural networks on maths-capable processors.
The "show-and-tell" on the booth was by way of an application running on a standard mobile phone that attempts to estimate the calorific content of foodstuffs in picture, such as popcorn, chocolate or seeds.
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